NEW CLASSIFICATION AND FILTERING TECHNIQUE FOR SPAM MESSAGE OF ONLINE SOCIAL NETWORK (OSN)

Abstract

Now a days we are going to update our status regularly on the social network sites like twitter, Facebook, etc. We can chat with our friends through these sites. The important problem of today’s OSN is that it could not provide to the user to restrict the some messages, link, and images from the user. And also by using today’s OSN sites we cannot control the unwanted messages. So in this paper we provide a way to user can restrict the messages, image, link which are unwanted are posted by their friends on the wall. We are going to use here flexible rule based system, that grant users to customize their filtering criteria to be applied to their walls and using a Link Guard Algorithm, OCR model for image filtering with algorithm.